Universe

Comp 2023 Computer Vision Dataset

byUMATask:
Object Detection
License:CC BY 4.056 views1 download
See all 2.9k imagesComp 2023 Buoys sample showing DockComp 2023 Buoys sampleComp 2023 Buoys sample showing DockComp 2023 Buoys sampleComp 2023 Buoys sample showing GreenTallBuoy, RedTallBuoyComp 2023 Buoys sampleComp 2023 Buoys sample showing DockComp 2023 Buoys sample showing DockComp 2023 Buoys sample showing BlackBuoy, BlueBuoy, GreenTallBuoy, RedTallBuoyComp 2023 Buoys sample showing Dock, GreenBuoy, RedBuoyComp 2023 Buoys sample showing YellowBuoyComp 2023 Buoys sample showing YellowBuoy

About Comp 2023 Dataset

Here are a few use cases for this project:

  1. Nautical Navigation Assistance: Use the Comp 2023 model to create a system that provides real-time identification and location information of buoys to marine vessels. This could improve navigation, especially in complex or dangerous waterways.

  2. Rescue and Emergency Services: Implement the model in the surveillance systems of coast guard or rescue services to identify the position and types of buoys in the vicinity. This could be essential in coordinating search and rescue missions, determining safe paths, or responding to emergencies at sea.

  3. Environmental Monitoring: Utilize Comp 2023 model to monitor the placement and movement of buoys over time. This data can be used by environmental researchers to study patterns and changes in water currents, tide levels, and marine life behavior.

  4. Virtual Reality (VR) Training: Integrate the model into a virtual reality training program for nautical students and professionals. It can help them understand and memorize different types of buoys, their appearance, and their significance in marine navigation.

  5. Water-Based Sports Events: Use the model in sports like rowing, sailing, or yacht racing for course setting. The system can provide real-time feedback about the position and types of buoys that mark the racing track, enhancing the safety and viability of the competition.

Use Free Dock, BlackBuoy and BlueBuoy Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Dock, BlackBuoy, BlueBuoy, GreenBuoy, GreenTallBuoy"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ comp-2023_dataset,
  title = { Comp 2023 Dataset },
  type = { Open Source Dataset },
  author = { UMA },
  howpublished = { \url{ https://universe.roboflow.com/uma-44eqm/comp-2023 } },
  url = { https://universe.roboflow.com/uma-44eqm/comp-2023 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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